Triple
T951685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neath Port Talbot |
E20536
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Margam
Margam is a village and community in South Wales known for its historic Margam Abbey and the expansive Margam Country Park and Castle.
|
E113967
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Margam | Statement: [Neath Port Talbot, contains, Margam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Margam Context triple: [Neath Port Talbot, contains, Margam]
-
A.
St Athan
St Athan is a village in the Vale of Glamorgan, Wales, best known for its long-standing military airbase and associated aerospace and defence activities.
-
B.
Trellech
Trellech is a historic village in Monmouthshire, Wales, known for its medieval significance and as the birthplace of philosopher Bertrand Russell.
-
C.
Ogmore-by-Sea
Ogmore-by-Sea is a coastal village in the Vale of Glamorgan, Wales, known for its sandy beaches, cliffs, and views across the Bristol Channel.
-
D.
Harlech
Harlech is a historic coastal town in northwest Wales, best known for its dramatic medieval castle overlooking Cardigan Bay.
-
E.
Milford Haven
Milford Haven is a coastal town and deep-water port in Pembrokeshire, Wales, known for its large natural harbour and role in the UK energy industry.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Margam Triple: [Neath Port Talbot, contains, Margam]
Generated description
Margam is a village and community in South Wales known for its historic Margam Abbey and the expansive Margam Country Park and Castle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Margam Target entity description: Margam is a village and community in South Wales known for its historic Margam Abbey and the expansive Margam Country Park and Castle.
-
A.
St Athan
St Athan is a village in the Vale of Glamorgan, Wales, best known for its long-standing military airbase and associated aerospace and defence activities.
-
B.
Trellech
Trellech is a historic village in Monmouthshire, Wales, known for its medieval significance and as the birthplace of philosopher Bertrand Russell.
-
C.
Ogmore-by-Sea
Ogmore-by-Sea is a coastal village in the Vale of Glamorgan, Wales, known for its sandy beaches, cliffs, and views across the Bristol Channel.
-
D.
Harlech
Harlech is a historic coastal town in northwest Wales, best known for its dramatic medieval castle overlooking Cardigan Bay.
-
E.
Milford Haven
Milford Haven is a coastal town and deep-water port in Pembrokeshire, Wales, known for its large natural harbour and role in the UK energy industry.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3d757d08190a475cf47febd05ae |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac119db8c881909cd727b255675c0c |
completed | March 7, 2026, 11:53 a.m. |
| NEDg | Description generation | batch_69ac147efce881909968fbb1c19f0237 |
completed | March 7, 2026, 12:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac14ca3b6c8190955387f5b6003931 |
completed | March 7, 2026, 12:06 p.m. |
Created at: March 1, 2026, 7:40 p.m.